The F score is an accuracy metric that combines precision and recall. It is defined as the harmonic mean of precision and recall, that is:
1/F = 0.5*( 1/precision + 1/recall )
. There are variants (Fβ that weight precision and recall differently. Also not to be confused with the F distribution used in statistical testing.
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